Revealing protein–lncRNA interaction

By Fabrizio Ferrè, Alessio Colantoni, Manuela Helmer-Citterich. Briefings Bioinform., 2015

611 citations recorded by the source corpus.

Long non-coding RNAs (lncRNAs) are associated to a plethora of cellular functions, most of which require the interaction with one or more RNA-binding proteins (RBPs); similarly, RBPs are often able to bind a large number of different RNAs. The currently available knowledge is already drawing an intricate network of interactions, whose deregulation is frequently associated to pathological states. Several different techniques were developed in the past years to obtain protein–RNA binding data in a high-throughput fashion. In parallel, in silico inference methods were developed for the accurate computational prediction of the interaction of RBP–lncRNA pairs. The field is growing rapidly, and it is foreseeable that in the near future, the protein–lncRNA interaction network will rise, offering essential clues for a better understanding of lncRNA cellular mechanisms and their disease-associated perturbations.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/0fb4bdf126623c4f252991db3277e22c37b0ae82

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In Molecular Biology

Citations in the corpus

RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach (2016, background): “RNA-protein interactions are involved in many biological processes, such as gene regulation and splicing [1].”